A wrap-up project for the 3-day DatafestAfrica Datathon 2023!
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Our business operates in the agricultural sector, where monitoring various environmental conditions and sensor data is crucial for optimizing crop yields and ensuring sustainable farming practices. This datathon is aligned with our commitment to leverage data engineering to streamline the processing and analysis of agricultural data.
Language, frameworks, libraries, Services and Tools used to bootstrap this project.
- DBT
- Snowflake
- GitHub
- SQL
- Jinja Template
This dataset simulates real-time agricultural sensor data, providing a rich source of information to design and construct a robust data engineering solution. The primary objective of this project is to extract, transform, and load (ETL) the raw sensor data into structured fact and dimension tables within our snowflake data warehouse.
- Create a Snowflakes Account
- Setup DBT cloud or core using the snowflake as its warehouse
- Data Modelling (logical and business)
- Develop
- Test and Documentation
- Create Jobs
- Deploy to Production